Analysis of attention on venture capital: A method of complex network on time series

التفاصيل البيبلوغرافية
العنوان: Analysis of attention on venture capital: A method of complex network on time series
المؤلفون: Kou Meng, Ting Gao, En-Peng Ti, Yan-Qiu Song, Jun Hu, Yu-Jie Zhang
المصدر: International Journal of Modern Physics B. 34:2050273
بيانات النشر: World Scientific Pub Co Pte Lt, 2020.
سنة النشر: 2020
مصطلحات موضوعية: 0103 physical sciences, Statistical and Nonlinear Physics, Business, Complex network, Venture capital, 010306 general physics, Condensed Matter Physics, 01 natural sciences, Public attention, Industrial organization, Social progress, 010305 fluids & plasmas
الوصف: Venture capital is an important force in promoting technological innovation and social progress. Research regarding the attention on venture capital can help understand the development and social influence of venture capital, which is conducive to the policy guidance and incentive to the industry. With the rapid development of information technology, the Internet has become the main source and dissemination channel of information, and search engines have become an important interface for information. Through a deep analysis of the search index of venture capital, we can find information that is more important. Based on the principle of time series visualization, we have transformed the time series data of attention on venture capital into complex networks and analyzed its network characteristics. We collected the Baidu index of Chinese venture capital from January 1, 2018 to November 25, 2019 and constructed a time series network based on PC plus mobile search, PC search, and mobile search. The results show that the convenience of the mobile terminal offers makes it the primary mode of tracking the industrial dynamics of venture capital, especially hot news. Relatively, PC terminal search is more stable than mobile search, more focused on industry reports, and refers to long-term followers of venture capital. Both degree distribution and centrality distribution of the three networks show that abnormal peaks and lows are few and the number of key time points in the time series of search on venture capital is insignificant. However, the clustering results show obvious segmentation effect that the peak effect of hot news is evident.
تدمد: 1793-6578
0217-9792
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::789b4dbe2a562dcdd267e84bcbf4e9d6
https://doi.org/10.1142/s0217979220502732
رقم الأكسشن: edsair.doi...........789b4dbe2a562dcdd267e84bcbf4e9d6
قاعدة البيانات: OpenAIRE